Quote (Bazi @ 22 Dec 2020 13:04)
No I’m not angry, more surprised at this regression and now basic things need to be spelled out. Here goes
No I didn’t acknowledge a link, I specifically said a link does not exist. Just because you spend time debunking a myth, does not validate the myth. Many thought the earth was round, that vaccines caused autism, that vaccines caused diabetes. These were studied, methodically. These premises were found erroneous. The fact that these premises were studied, does not in anyway validate them
You are also confused where the burden of proof lies in conversation and who has responsible to show.
The concern I have is that you've claimed it's debunked. There was no "debunk". The overall gist, which is clearly expressed is that the case load of type 1 diabetes did increase specifically based on age of immunization. Every study confirmed that, but ran statistical models that claimed it was a natural variant. There was no medical or scientific "debunking". Once again, it boiled down to "Correlation does not equal causation."
This is part of the issue I have with the absolute certainty displayed in this thread regarding not only the virus, but the vaccine, and the measures that have been taken to... Mitigate it. None of you really know. It gets worse in that there's no way TO know regarding long term effects, because this form of vaccine is too new to have any such information. It gets even better when you openly admit you don't even know if the vaccine prevents people from being a carrier or not. It gets even better yet when you admit you don't know how long it provides any immunity. Is it possible that this vaccine may have problems? Sure. Is it possible it may not? Sure. Is it possible it may be helpful for the young and healthy (no comorbidities to take it)? Sure. Is it possible it's not? Sure. Is it possible that consistent results regarding H Flu + diabetes is a natural variant? Sure. Is it also possible that it's not? Sure. The problem, and it's a huge problem, isn't that new studies were formed in an attempt to determine if the results were outliers or flawed. New statistical models were built to indicate a different result without providing a different result.
This happens to be one of the largest problems in science today, especially medical science, and it's excessively frustrating. Rather than simply putting the information out there and letting people judge for themselves, or debunking via proving faulty results or methods, it's a bandwagon effort where statistical models are used to hide numbers and attempt to discredit the findings without disproving them.
It's effectively the scientific version of the Biden laptop. "It's all debunked, discredited!" "Nothing happened, it's a conspiracy" they all reported. Turns out when it's expedient, "Well, yeah, there's an active investigation and has been since before the election."
Do I care about Hunter Biden or his laptop? Fuck no. Do I think Joe Biden is corrupt and pay for play? Of course, all politicians are. Now, given the billions invested, and the insane levels of compensation increase due to all things related to covid and the vaccine, am I beginning to think that so called "healthcare experts" are quite likely corrupt as well? I mean, I want to know more about these $10K/week 2 year degree nurses. I'd like to know a bit more about the $3.5 Billion invested into Pfizer and Moderna. I'd like to know why simple questions such as, "If you can't tell how long a person is immune based on recovering from covid, and you can't tell how long a person is immune based on the vaccine, why should those who've caught it take the vaccine?" are answered with stupid shit like "ANTIVAXXER!"
No fewer than 10 times in the last couple days I've been reminded about our local "medical experts". Still haven't received any logical answers to perfectly reasonable questions. Is it because you simply don't wish to express ignorance, or are you every bit as corrupt as the politicians funding you?